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The Machine Learning Engineer in the Search Data Science team will play a pivotal role in supporting the architecture and development of AI initiatives within the Sam's Club division of Walmart Inc. This position is key to crafting the ML/AI models that will enhance member experiences across eCommerce, Scan & Go, and in-club shopping.
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You will identify an applied machine learning problem in the enterprise search and question answering ecosystem. You will learn practical modeling skills, as well as software skills to be a successful machine learning engineer.
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Build and maintain familiarity with Otsuka Machine Learning tech stack including AWS, Kubernetes, Snowflake, and Dataiku. Profound grasp of Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
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To make this vast amount of information more accessible, we have built a variety of tools including a search engine, a machine-learning-driven search intent classifier, an LLM-driven question-answering system, and an ontology/taxonomy, all supported by reference data about companies, industries, and our analysts.
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The AI COE is seeking a Senior Data Scientist with experience in Conversational AI, Generative Large Language Models, Natural Language Processing, Machine learning, various deep learning related technologies, predictive and prescriptive analytics.
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To achieve this, we work closely with various machine learning (ML) applied science teams dedicated to improving the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.
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Passionate about natural language understanding, information retrieval, or machine learning. You will have access to enterprise grade foundational model APIs, e.g. OpenAI ChatGPT and use them to explore machine learning ideas.
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Artificial intelligence, recruitment, machine learning, data science, staffing, ai, community, podcast, Computer Vision, Deep Learning, data engineering, big data, automation, ServiceNow, splunk, digital transformation, executive search, data analytics, cybersecurity, software engineering, software development, and it.
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The AI Machine Learning Scientist is in charge of using Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement. Requires a Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.
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We are in search of a Battery Computational Scientist Lead with expertise in Density Functional Theory (DFT), Molecular Dynamics (MD), and/or Machine Learning (ML) to join our dynamic team.
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DoorDash Careers | Staff Engineer, Machine Learning Science - AI for Voice Ordering Search Jobs About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery.
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Proven experience in Deep Learning, Natural Language Processing, Large Language Models, Search & Recommendation. Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions.
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The candidate should have at least a BS in computer science background and coursework at the graduate or undergraduate levels in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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2+ years experience collaborate directly with cross functional team such as product, business stakeholders on clarifying business requirement and presenting machine learning solutions. Strong expertise and knowledge in deep learning, NLP, ML-ops, and distributed systems.
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